The Structure and Function of Complex Networks

Michael Newman

SIAM Review · 2003 · 18.4K citations · 372 references

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Abstract

Inspired by empirical studies of networked systems such as the Internet,\nsocial networks, and biological networks, researchers have in recent years\ndeveloped a variety of techniques and models to help us understand or predict\nthe behavior of these systems. Here we review developments in this field,\nincluding such concepts as the small-world effect, degree distributions,\nclustering, network correlations, random graph models, models of network growth\nand preferential attachment, and dynamical processes taking place on networks.\n

References

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